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This study utilizes a multi-omics approach to systematically characterize the cellular heterogeneity and spatial architecture of the hair follicle microenvironment in patients with androgenetic alopecia (AGA). Our primary aim is to elucidate the key mechanisms driving hair follicle stem cell (HFSC) exhaustion and to identify potential therapeutic targets. Investigators will collect six groups of scalp tissue samples, which include healthy controls and AGA patients (stratified into younger and older cohorts). By integrating spatial transcriptomics, single - cell sequencing data, investigators will map aberrant cell subpopulations and their complex interaction networks. Furthermore, the identified core targets will be functionally validated using patient-derived organoids and animal models. Expected outcomes include the identification of 3-5 critical cell subpopulations and the discovery o
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